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	Using spatial multilevel regression analysis to assess soil type contextual effects on neural tube defects
	Ren Z. P. ; Wang J. F. ; Liao Y. L. ; Zheng X. Y.
	2013
关键词	Neural tube birth Multilevel analysis Soil type contextual effects Spatial autocorrelation brief conceptual tutorial birth-defects social epidemiology public-health risk-factors congenital-malformations modeling approach shanxi province high-prevalence china
英文摘要	The rate of neural tube defects (NTDs) in Shanxi Province is the highest world widely. Both human and environmental factors can induce NTDs, but various studies ignored contextual effects. This research examines whether there are significant soil type contextual effects on the rate of NTDs. A spatial two-level regression model is used to quantify the magnitude of contextual effects. Spatial autocorrelated errors structure is used to control autocorrelation of residuals. The results suggest that the spatial multilevel model fit the data better than non-spatial multilevel models. Our findings indicate that there are significant soil type contextual effects on the rate of NTDs, even after taking into account of fertilizer and net income. More attentions should be focused on how characteristics of each soil type may affect the rates of NTDs in further studies, which is a relevant issue for understanding etiology of NTDs.
出处	Stochastic Environmental Research and Risk Assessment
卷	27
期	7
页	1695-1708
收录类别	SCI
语种	英语
ISSN号	1436-3240
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/30296]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Ren Z. P.,Wang J. F.,Liao Y. L.,et al. Using spatial multilevel regression analysis to assess soil type contextual effects on neural tube defects. 2013.

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